Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	1868
Missing cells	48
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	394.2 KiB
Average record size in memory	216.1 B

Variable types

Categorical	14
Numeric	13

Alerts

`Destination` has constant value ""	Constant
`To Area` has constant value ""	Constant
`year` has constant value ""	Constant
`Flight Date` has a high cardinality: 265 distinct values	High cardinality
`Flight Code` has a high cardinality: 88 distinct values	High cardinality
`day_convert` has a high cardinality: 265 distinct values	High cardinality
`Days` is highly overall correlated with `day_name`	High correlation
`Block` is highly overall correlated with `Sold` and 6 other fields	High correlation
`Sold` is highly overall correlated with `Block` and 4 other fields	High correlation
`Left` is highly overall correlated with `Occ.(%)` and 1 other fields	High correlation
`Occ.(%)` is highly overall correlated with `Left` and 1 other fields	High correlation
`Block1` is highly overall correlated with `Block` and 6 other fields	High correlation
`Sold1` is highly overall correlated with `Block` and 4 other fields	High correlation
`Left1` is highly overall correlated with `Occ.(%)1`	High correlation
`Occ.(%)1` is highly overall correlated with `Left1`	High correlation
`Occ.` is highly overall correlated with `Left` and 1 other fields	High correlation
`Netto` is highly overall correlated with `Block` and 7 other fields	High correlation
`Profit` is highly overall correlated with `prıce`	High correlation
`prıce` is highly overall correlated with `Block` and 6 other fields	High correlation
`Origin` is highly overall correlated with `Flight Code`	High correlation
`day_name` is highly overall correlated with `Days`	High correlation
`flight_month` is highly overall correlated with `season`	High correlation
`season` is highly overall correlated with `flight_month`	High correlation
`Flight Code` is highly overall correlated with `Block` and 7 other fields	High correlation
`Airline Company` is highly overall correlated with `Netto` and 3 other fields	High correlation
`dpt` is highly overall correlated with `Flight Code` and 1 other fields	High correlation
`dpt1` is highly overall correlated with `Flight Code` and 2 other fields	High correlation
`Netto Currency` is highly overall correlated with `Block` and 7 other fields	High correlation
`Origin` is highly imbalanced (52.7%)	Imbalance
`Profit` has 44 (2.4%) missing values	Missing
`Sold` has 31 (1.7%) zeros	Zeros
`Left` has 950 (50.9%) zeros	Zeros
`Occ.(%)` has 32 (1.7%) zeros	Zeros
`Sold1` has 65 (3.5%) zeros	Zeros
`Left1` has 1075 (57.5%) zeros	Zeros
`Occ.(%)1` has 67 (3.6%) zeros	Zeros
`Occ.` has 31 (1.7%) zeros	Zeros

Reproduction

Analysis started	2023-02-14 11:22:32.816071
Analysis finished	2023-02-14 11:22:53.197550
Duration	20.38 seconds
Software version	ydata-profiling vv4.0.0
Download configuration	config.json

Destination
Categorical

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Turkey	1868

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	11208
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Turkey
2nd row	Turkey
3rd row	Turkey
4th row	Turkey
5th row	Turkey

Common Values

Value	Count	Frequency (%)
Turkey	1868	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
turkey	1868	100.0%

Most occurring characters

Value	Count	Frequency (%)
T	1868	16.7%
u	1868	16.7%
r	1868	16.7%
k	1868	16.7%
e	1868	16.7%
y	1868	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9340	83.3%
Uppercase Letter	1868	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	1868	20.0%
r	1868	20.0%
k	1868	20.0%
e	1868	20.0%
y	1868	20.0%

Uppercase Letter

Value	Count	Frequency (%)
T	1868	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11208	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	1868	16.7%
u	1868	16.7%
r	1868	16.7%
k	1868	16.7%
e	1868	16.7%
y	1868	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11208	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	1868	16.7%
u	1868	16.7%
r	1868	16.7%
k	1868	16.7%
e	1868	16.7%
y	1868	16.7%

Origin
Categorical

HIGH CORRELATION IMBALANCE

Distinct	21
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Moscow	1280
S.Petersburg	140
Rostov-na-Donu	64
Kaliningrad	47
Arkhangelsk	40
Other values (16)	297

Length

Max length	15
Median length	6
Mean length	7.3907923
Min length	3

Characters and Unicode

Total characters	13806
Distinct characters	39
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Arkhangelsk
2nd row	Arkhangelsk
3rd row	Arkhangelsk
4th row	Arkhangelsk
5th row	Arkhangelsk

Common Values

Value	Count	Frequency (%)
Moscow	1280	68.5%
S.Petersburg	140	7.5%
Rostov-na-Donu	64	3.4%
Kaliningrad	47	2.5%
Arkhangelsk	40	2.1%
Voronezh	36	1.9%
Mineralnye Vodi	36	1.9%
Belgorod	33	1.8%
Saratov	30	1.6%
Krasnodar	30	1.6%
Other values (11)	132	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
moscow	1280	67.2%
s.petersburg	140	7.4%
rostov-na-donu	64	3.4%
kaliningrad	47	2.5%
arkhangelsk	40	2.1%
voronezh	36	1.9%
mineralnye	36	1.9%
vodi	36	1.9%
belgorod	33	1.7%
saratov	30	1.6%
Other values (12)	162	8.5%

Most occurring characters

Value	Count	Frequency (%)
o	3027	21.9%
s	1566	11.3%
M	1316	9.5%
c	1280	9.3%
w	1280	9.3%
r	687	5.0%
e	526	3.8%
a	501	3.6%
n	478	3.5%
g	331	2.4%
Other values (29)	2814	20.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11384	82.5%
Uppercase Letter	2113	15.3%
Other Punctuation	145	1.1%
Dash Punctuation	128	0.9%
Space Separator	36	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3027	26.6%
s	1566	13.8%
c	1280	11.2%
w	1280	11.2%
r	687	6.0%
e	526	4.6%
a	501	4.4%
n	478	4.2%
g	331	2.9%
t	262	2.3%
Other values (12)	1446	12.7%

Uppercase Letter

Value	Count	Frequency (%)
M	1316	62.3%
S	184	8.7%
P	153	7.2%
K	103	4.9%
V	85	4.0%
D	64	3.0%
R	64	3.0%
A	40	1.9%
B	33	1.6%
E	25	1.2%
Other values (4)	46	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	145	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	128	100.0%

Space Separator

Value	Count	Frequency (%)
	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13497	97.8%
Common	309	2.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3027	22.4%
s	1566	11.6%
M	1316	9.8%
c	1280	9.5%
w	1280	9.5%
r	687	5.1%
e	526	3.9%
a	501	3.7%
n	478	3.5%
g	331	2.5%
Other values (26)	2505	18.6%

Common

Value	Count	Frequency (%)
.	145	46.9%
-	128	41.4%
	36	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13806	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3027	21.9%
s	1566	11.3%
M	1316	9.5%
c	1280	9.3%
w	1280	9.3%
r	687	5.0%
e	526	3.8%
a	501	3.6%
n	478	3.5%
g	331	2.4%
Other values (29)	2814	20.4%

To Area
Categorical

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Antalya	1868

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	13076
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Antalya
2nd row	Antalya
3rd row	Antalya
4th row	Antalya
5th row	Antalya

Common Values

Value	Count	Frequency (%)
Antalya	1868	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
antalya	1868	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	3736	28.6%
A	1868	14.3%
n	1868	14.3%
t	1868	14.3%
l	1868	14.3%
y	1868	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11208	85.7%
Uppercase Letter	1868	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3736	33.3%
n	1868	16.7%
t	1868	16.7%
l	1868	16.7%
y	1868	16.7%

Uppercase Letter

Value	Count	Frequency (%)
A	1868	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13076	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3736	28.6%
A	1868	14.3%
n	1868	14.3%
t	1868	14.3%
l	1868	14.3%
y	1868	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3736	28.6%
A	1868	14.3%
n	1868	14.3%
t	1868	14.3%
l	1868	14.3%
y	1868	14.3%

Flight Date
Categorical

Distinct	265
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

09.10.2021	20
16.10.2021	20
02.10.2021	18
19.09.2021	18
01.10.2021	17
Other values (260)	1775

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	18680
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59 ?
Unique (%)	3.2%

Sample

1st row	03.08.2021
2nd row	06.08.2021
3rd row	10.08.2021
4th row	13.08.2021
5th row	17.08.2021

Common Values

Value	Count	Frequency (%)
09.10.2021	20	1.1%
16.10.2021	20	1.1%
02.10.2021	18	1.0%
19.09.2021	18	1.0%
01.10.2021	17	0.9%
25.09.2021	17	0.9%
12.09.2021	16	0.9%
10.10.2021	16	0.9%
04.09.2021	16	0.9%
11.09.2021	16	0.9%
Other values (255)	1694	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
09.10.2021	20	1.1%
16.10.2021	20	1.1%
02.10.2021	18	1.0%
19.09.2021	18	1.0%
01.10.2021	17	0.9%
25.09.2021	17	0.9%
07.08.2021	16	0.9%
18.09.2021	16	0.9%
04.10.2021	16	0.9%
27.09.2021	16	0.9%
Other values (255)	1694	90.7%

Most occurring characters

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
.	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14944	80.0%
Other Punctuation	3736	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4533	30.3%
0	4391	29.4%
1	3296	22.1%
9	607	4.1%
8	601	4.0%
7	537	3.6%
3	340	2.3%
4	236	1.6%
6	229	1.5%
5	174	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	3736	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18680	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
.	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
.	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

day_name
Categorical

Distinct	7
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Saturday	321
Sunday	299
Friday	263
Wednesday	256
Monday	249
Other values (2)	480

Length

Max length	9
Median length	8
Mean length	7.1381156
Min length	6

Characters and Unicode

Total characters	13334
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tuesday
2nd row	Friday
3rd row	Tuesday
4th row	Friday
5th row	Tuesday

Common Values

Value	Count	Frequency (%)
Saturday	321	17.2%
Sunday	299	16.0%
Friday	263	14.1%
Wednesday	256	13.7%
Monday	249	13.3%
Tuesday	244	13.1%
Thursday	236	12.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
saturday	321	17.2%
sunday	299	16.0%
friday	263	14.1%
wednesday	256	13.7%
monday	249	13.3%
tuesday	244	13.1%
thursday	236	12.6%

Most occurring characters

Value	Count	Frequency (%)
a	2189	16.4%
d	2124	15.9%
y	1868	14.0%
u	1100	8.2%
r	820	6.1%
n	804	6.0%
e	756	5.7%
s	736	5.5%
S	620	4.6%
T	480	3.6%
Other values (7)	1837	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11466	86.0%
Uppercase Letter	1868	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2189	19.1%
d	2124	18.5%
y	1868	16.3%
u	1100	9.6%
r	820	7.2%
n	804	7.0%
e	756	6.6%
s	736	6.4%
t	321	2.8%
i	263	2.3%
Other values (2)	485	4.2%

Uppercase Letter

Value	Count	Frequency (%)
S	620	33.2%
T	480	25.7%
F	263	14.1%
W	256	13.7%
M	249	13.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13334	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2189	16.4%
d	2124	15.9%
y	1868	14.0%
u	1100	8.2%
r	820	6.1%
n	804	6.0%
e	756	5.7%
s	736	5.5%
S	620	4.6%
T	480	3.6%
Other values (7)	1837	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13334	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2189	16.4%
d	2124	15.9%
y	1868	14.0%
u	1100	8.2%
r	820	6.1%
n	804	6.0%
e	756	5.7%
s	736	5.5%
S	620	4.6%
T	480	3.6%
Other values (7)	1837	13.8%

flight_month
Categorical

Distinct	11
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

September	427
August	421
October	382
July	338
November	74
Other values (6)	226

Length

Max length	9
Median length	7
Mean length	6.5711991
Min length	4

Characters and Unicode

Total characters	12275
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	August
2nd row	August
3rd row	August
4th row	August
5th row	August

Common Values

Value	Count	Frequency (%)
September	427	22.9%
August	421	22.5%
October	382	20.4%
July	338	18.1%
November	74	4.0%
March	57	3.1%
April	48	2.6%
June	43	2.3%
January	33	1.8%
February	23	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
september	427	22.9%
august	421	22.5%
october	382	20.4%
july	338	18.1%
november	74	4.0%
march	57	3.1%
april	48	2.6%
june	43	2.3%
january	33	1.8%
february	23	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	1943	15.8%
u	1279	10.4%
t	1230	10.0%
r	1089	8.9%
b	928	7.6%
m	523	4.3%
p	475	3.9%
A	469	3.8%
c	461	3.8%
o	456	3.7%
Other values (16)	3422	27.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10407	84.8%
Uppercase Letter	1868	15.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1943	18.7%
u	1279	12.3%
t	1230	11.8%
r	1089	10.5%
b	928	8.9%
m	523	5.0%
p	475	4.6%
c	461	4.4%
o	456	4.4%
s	421	4.0%
Other values (8)	1602	15.4%

Uppercase Letter

Value	Count	Frequency (%)
A	469	25.1%
S	427	22.9%
J	414	22.2%
O	382	20.4%
N	74	4.0%
M	57	3.1%
F	23	1.2%
D	22	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12275	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1943	15.8%
u	1279	10.4%
t	1230	10.0%
r	1089	8.9%
b	928	7.6%
m	523	4.3%
p	475	3.9%
A	469	3.8%
c	461	3.8%
o	456	3.7%
Other values (16)	3422	27.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12275	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1943	15.8%
u	1279	10.4%
t	1230	10.0%
r	1089	8.9%
b	928	7.6%
m	523	4.3%
p	475	3.9%
A	469	3.8%
c	461	3.8%
o	456	3.7%
Other values (16)	3422	27.9%

season
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Fall	883
Summer	802
Spring	105
Winter	78

Length

Max length	6
Median length	6
Mean length	5.0546039
Min length	4

Characters and Unicode

Total characters	9442
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Summer
2nd row	Summer
3rd row	Summer
4th row	Summer
5th row	Summer

Common Values

Value	Count	Frequency (%)
Fall	883	47.3%
Summer	802	42.9%
Spring	105	5.6%
Winter	78	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fall	883	47.3%
summer	802	42.9%
spring	105	5.6%
winter	78	4.2%

Most occurring characters

Value	Count	Frequency (%)
l	1766	18.7%
m	1604	17.0%
r	985	10.4%
S	907	9.6%
F	883	9.4%
a	883	9.4%
e	880	9.3%
u	802	8.5%
i	183	1.9%
n	183	1.9%
Other values (4)	366	3.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7574	80.2%
Uppercase Letter	1868	19.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	1766	23.3%
m	1604	21.2%
r	985	13.0%
a	883	11.7%
e	880	11.6%
u	802	10.6%
i	183	2.4%
n	183	2.4%
p	105	1.4%
g	105	1.4%

Uppercase Letter

Value	Count	Frequency (%)
S	907	48.6%
F	883	47.3%
W	78	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9442	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	1766	18.7%
m	1604	17.0%
r	985	10.4%
S	907	9.6%
F	883	9.4%
a	883	9.4%
e	880	9.3%
u	802	8.5%
i	183	1.9%
n	183	1.9%
Other values (4)	366	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9442	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1766	18.7%
m	1604	17.0%
r	985	10.4%
S	907	9.6%
F	883	9.4%
a	883	9.4%
e	880	9.3%
u	802	8.5%
i	183	1.9%
n	183	1.9%
Other values (4)	366	3.9%

year
Categorical

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

2021	1868

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	7472
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	1868	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	1868	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	3736	50.0%
0	1868	25.0%
1	1868	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7472	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	3736	50.0%
0	1868	25.0%
1	1868	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7472	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	3736	50.0%
0	1868	25.0%
1	1868	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7472	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	3736	50.0%
0	1868	25.0%
1	1868	25.0%

Flight Code
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	88
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

RL 7709	249
RL 7711	218
TK 212	200
RL 7707	117
TK 4002	100
Other values (83)	984

Length

Max length	7
Median length	7
Mean length	6.877409
Min length	6

Characters and Unicode

Total characters	12847
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	1.1%

Sample

1st row	U6 1137
2nd row	U6 1137
3rd row	U6 1137
4th row	U6 1137
5th row	U6 1137

Common Values

Value	Count	Frequency (%)
RL 7709	249	13.3%
RL 7711	218	11.7%
TK 212	200	10.7%
RL 7707	117	6.3%
TK 4002	100	5.4%
U6 3001	94	5.0%
SU 2142	89	4.8%
SU 6693	74	4.0%
RL 7575	68	3.6%
RL 8073	46	2.5%
Other values (78)	613	32.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
rl	887	23.7%
tk	300	8.0%
7709	249	6.7%
u6	238	6.4%
7711	218	5.8%
wz	213	5.7%
212	200	5.4%
su	163	4.4%
7707	117	3.1%
4002	100	2.7%
Other values (86)	1051	28.1%

Most occurring characters

Value	Count	Frequency (%)
	1868	14.5%
7	1780	13.9%
1	1366	10.6%
0	1324	10.3%
R	887	6.9%
L	887	6.9%
2	717	5.6%
4	469	3.7%
6	465	3.6%
9	417	3.2%
Other values (15)	2667	20.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7534	58.6%
Uppercase Letter	3445	26.8%
Space Separator	1868	14.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	887	25.7%
L	887	25.7%
U	401	11.6%
K	300	8.7%
T	300	8.7%
Z	215	6.2%
W	213	6.2%
S	163	4.7%
N	53	1.5%
E	11	0.3%
Other values (4)	15	0.4%

Decimal Number

Value	Count	Frequency (%)
7	1780	23.6%
1	1366	18.1%
0	1324	17.6%
2	717	9.5%
4	469	6.2%
6	465	6.2%
9	417	5.5%
3	406	5.4%
5	347	4.6%
8	243	3.2%

Space Separator

Value	Count	Frequency (%)
	1868	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9402	73.2%
Latin	3445	26.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	887	25.7%
L	887	25.7%
U	401	11.6%
K	300	8.7%
T	300	8.7%
Z	215	6.2%
W	213	6.2%
S	163	4.7%
N	53	1.5%
E	11	0.3%
Other values (4)	15	0.4%

Common

Value	Count	Frequency (%)
	1868	19.9%
7	1780	18.9%
1	1366	14.5%
0	1324	14.1%
2	717	7.6%
4	469	5.0%
6	465	4.9%
9	417	4.4%
3	406	4.3%
5	347	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12847	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1868	14.5%
7	1780	13.9%
1	1366	10.6%
0	1324	10.3%
R	887	6.9%
L	887	6.9%
2	717	5.6%
4	469	3.7%
6	465	3.6%
9	417	3.2%
Other values (15)	2667	20.8%

Days
Real number (ℝ)

Distinct	7
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1664882

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0254437
Coefficient of variation (CV)	0.48612731
Kurtosis	-1.2835544
Mean	4.1664882
Median Absolute Deviation (MAD)	2
Skewness	-0.12009845
Sum	7783
Variance	4.1024222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	321	17.2%
7	299	16.0%
5	263	14.1%
3	256	13.7%
1	249	13.3%
2	244	13.1%
4	236	12.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	249	13.3%
2	244	13.1%
3	256	13.7%
4	236	12.6%
5	263	14.1%
6	321	17.2%
7	299	16.0%

Value	Count	Frequency (%)
7	299	16.0%
6	321	17.2%
5	263	14.1%
4	236	12.6%
3	256	13.7%
2	244	13.1%
1	249	13.3%

Airline Company
Categorical

Distinct	9
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

Royal Flight	887
Turkish Airlines	300
Ural Airlines	238
Red Wings Airlines	213
Aeroflot	163
Other values (4)	67

Length

Max length	18
Median length	16
Mean length	12.994111
Min length	5

Characters and Unicode

Total characters	24273
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Ural Airlines
2nd row	Ural Airlines
3rd row	Ural Airlines
4th row	Ural Airlines
5th row	Ural Airlines

Common Values

Value	Count	Frequency (%)
Royal Flight	887	47.5%
Turkish Airlines	300	16.1%
Ural Airlines	238	12.7%
Red Wings Airlines	213	11.4%
Aeroflot	163	8.7%
Nord Wind	53	2.8%
Pegas Fly	11	0.6%
Azur Air	2	0.1%
Yamal	1	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
royal	887	23.4%
flight	887	23.4%
airlines	751	19.8%
turkish	300	7.9%
ural	238	6.3%
red	213	5.6%
wings	213	5.6%
aeroflot	163	4.3%
nord	53	1.4%
wind	53	1.4%
Other values (5)	27	0.7%

Most occurring characters

Value	Count	Frequency (%)
i	2957	12.2%
l	2938	12.1%
	1917	7.9%
r	1509	6.2%
s	1275	5.3%
o	1266	5.2%
h	1187	4.9%
a	1138	4.7%
e	1138	4.7%
g	1111	4.6%
Other values (18)	7837	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18571	76.5%
Uppercase Letter	3785	15.6%
Space Separator	1917	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2957	15.9%
l	2938	15.8%
r	1509	8.1%
s	1275	6.9%
o	1266	6.8%
h	1187	6.4%
a	1138	6.1%
e	1138	6.1%
g	1111	6.0%
t	1050	5.7%
Other values (8)	3002	16.2%

Uppercase Letter

Value	Count	Frequency (%)
R	1100	29.1%
A	918	24.3%
F	898	23.7%
T	300	7.9%
W	266	7.0%
U	238	6.3%
N	53	1.4%
P	11	0.3%
Y	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	1917	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22356	92.1%
Common	1917	7.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	2957	13.2%
l	2938	13.1%
r	1509	6.7%
s	1275	5.7%
o	1266	5.7%
h	1187	5.3%
a	1138	5.1%
e	1138	5.1%
g	1111	5.0%
R	1100	4.9%
Other values (17)	6737	30.1%

Common

Value	Count	Frequency (%)
	1917	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	2957	12.2%
l	2938	12.1%
	1917	7.9%
r	1509	6.2%
s	1275	5.3%
o	1266	5.2%
h	1187	4.9%
a	1138	4.7%
e	1138	4.7%
g	1111	4.6%
Other values (18)	7837	32.3%

dpt
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

afternoon	814
night	698
morning	341
evening	15

Length

Max length	9
Median length	7
Mean length	7.124197
Min length	5

Characters and Unicode

Total characters	13308
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	afternoon
2nd row	morning
3rd row	afternoon
4th row	morning
5th row	afternoon

Common Values

Value	Count	Frequency (%)
afternoon	814	43.6%
night	698	37.4%
morning	341	18.3%
evening	15	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
afternoon	814	43.6%
night	698	37.4%
morning	341	18.3%
evening	15	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	3038	22.8%
o	1969	14.8%
t	1512	11.4%
r	1155	8.7%
i	1054	7.9%
g	1054	7.9%
e	844	6.3%
a	814	6.1%
f	814	6.1%
h	698	5.2%
Other values (2)	356	2.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13308	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3038	22.8%
o	1969	14.8%
t	1512	11.4%
r	1155	8.7%
i	1054	7.9%
g	1054	7.9%
e	844	6.3%
a	814	6.1%
f	814	6.1%
h	698	5.2%
Other values (2)	356	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13308	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3038	22.8%
o	1969	14.8%
t	1512	11.4%
r	1155	8.7%
i	1054	7.9%
g	1054	7.9%
e	844	6.3%
a	814	6.1%
f	814	6.1%
h	698	5.2%
Other values (2)	356	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13308	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3038	22.8%
o	1969	14.8%
t	1512	11.4%
r	1155	8.7%
i	1054	7.9%
g	1054	7.9%
e	844	6.3%
a	814	6.1%
f	814	6.1%
h	698	5.2%
Other values (2)	356	2.7%

Block
Real number (ℝ)

Distinct	69
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	175.02944

Minimum	1
Maximum	492
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	15
median	214.5
Q3	235
95-th percentile	480
Maximum	492
Range	491
Interquartile range (IQR)	220

Descriptive statistics

Standard deviation	164.82552
Coefficient of variation (CV)	0.94170168
Kurtosis	-0.74692255
Mean	175.02944
Median Absolute Deviation (MAD)	184.5
Skewness	0.66470634
Sum	326955
Variance	27167.452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
220	408	21.8%
30	215	11.5%
15	163	8.7%
235	142	7.6%
14	131	7.0%
478	126	6.7%
4	105	5.6%
330	63	3.4%
189	57	3.1%
13	46	2.5%
Other values (59)	412	22.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	4	0.2%
3	4	0.2%
4	105	5.6%
5	6	0.3%
6	4	0.2%
7	7	0.4%
8	10	0.5%
9	7	0.4%
10	18	1.0%

Value	Count	Frequency (%)
492	7	0.4%
490	5	0.3%
489	3	0.2%
488	5	0.3%
487	7	0.4%
486	4	0.2%
485	7	0.4%
484	9	0.5%
483	7	0.4%
482	18	1.0%

Sold
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	244
Distinct (%)	13.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	158.70289

Minimum	0
Maximum	492
Zeros	31
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	14
median	110
Q3	220
95-th percentile	479
Maximum	492
Range	492
Interquartile range (IQR)	206

Descriptive statistics

Standard deviation	161.29212
Coefficient of variation (CV)	1.0163149
Kurtosis	-0.48700979
Mean	158.70289
Median Absolute Deviation (MAD)	102
Skewness	0.8407334
Sum	296457
Variance	26015.147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	164	8.8%
220	153	8.2%
15	108	5.8%
14	107	5.7%
4	75	4.0%
13	63	3.4%
478	58	3.1%
12	47	2.5%
235	40	2.1%
218	36	1.9%
Other values (234)	1017	54.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31	1.7%
1	5	0.3%
2	19	1.0%
3	22	1.2%
4	75	4.0%
5	6	0.3%
6	13	0.7%
7	9	0.5%
8	14	0.7%
9	17	0.9%

Value	Count	Frequency (%)
492	2	0.1%
490	2	0.1%
489	2	0.1%
488	2	0.1%
487	7	0.4%
486	4	0.2%
485	5	0.3%
484	5	0.3%
483	7	0.4%
482	12	0.6%

Left
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	160
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.326552

Minimum	-4
Maximum	478
Zeros	950
Zeros (%)	50.9%
Negative	8
Negative (%)	0.4%
Memory size	14.7 KiB

Quantile statistics

Minimum	-4
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	121
Maximum	478
Range	482
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	52.513639
Coefficient of variation (CV)	3.2164561
Kurtosis	28.756237
Mean	16.326552
Median Absolute Deviation (MAD)	0
Skewness	4.8914992
Sum	30498
Variance	2757.6823
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	950	50.9%
1	212	11.3%
2	148	7.9%
3	76	4.1%
4	64	3.4%
5	39	2.1%
8	27	1.4%
6	25	1.3%
7	16	0.9%
14	16	0.9%
Other values (150)	295	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4	1	0.1%
-2	4	0.2%
-1	3	0.2%
0	950	50.9%
1	212	11.3%
2	148	7.9%
3	76	4.1%
4	64	3.4%
5	39	2.1%
6	25	1.3%

Value	Count	Frequency (%)
478	4	0.2%
476	1	0.1%
443	1	0.1%
374	1	0.1%
371	1	0.1%
354	1	0.1%
330	6	0.3%
318	1	0.1%
315	1	0.1%
283	1	0.1%

Occ.(%)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	94
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.152034

Minimum	0
Maximum	101
Zeros	32
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	36.35
Q1	97
median	100
Q3	100
95-th percentile	100
Maximum	101
Range	101
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	21.209502
Coefficient of variation (CV)	0.2326827
Kurtosis	8.3028974
Mean	91.152034
Median Absolute Deviation (MAD)	0
Skewness	-2.9698753
Sum	170272
Variance	449.84297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	1100	58.9%
99	167	8.9%
98	80	4.3%
97	59	3.2%
93	53	2.8%
0	32	1.7%
80	23	1.2%
96	20	1.1%
75	20	1.1%
87	19	1.0%
Other values (84)	295	15.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	32	1.7%
1	1	0.1%
2	1	0.1%
3	2	0.1%
4	2	0.1%
5	2	0.1%
6	1	0.1%
7	2	0.1%
9	1	0.1%
10	4	0.2%

Value	Count	Frequency (%)
101	2	0.1%
100	1100	58.9%
99	167	8.9%
98	80	4.3%
97	59	3.2%
96	20	1.1%
95	12	0.6%
94	15	0.8%
93	53	2.8%
92	6	0.3%

dpt1
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

morning	754
evening	616
afternoon	438
night	60

Length

Max length	9
Median length	7
Mean length	7.4047109
Min length	5

Characters and Unicode

Total characters	13832
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	morning
2nd row	night
3rd row	morning
4th row	night
5th row	morning

Common Values

Value	Count	Frequency (%)
morning	754	40.4%
evening	616	33.0%
afternoon	438	23.4%
night	60	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
morning	754	40.4%
evening	616	33.0%
afternoon	438	23.4%
night	60	3.2%

Most occurring characters

Value	Count	Frequency (%)
n	3676	26.6%
e	1670	12.1%
o	1630	11.8%
i	1430	10.3%
g	1430	10.3%
r	1192	8.6%
m	754	5.5%
v	616	4.5%
t	498	3.6%
a	438	3.2%
Other values (2)	498	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13832	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3676	26.6%
e	1670	12.1%
o	1630	11.8%
i	1430	10.3%
g	1430	10.3%
r	1192	8.6%
m	754	5.5%
v	616	4.5%
t	498	3.6%
a	438	3.2%
Other values (2)	498	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13832	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3676	26.6%
e	1670	12.1%
o	1630	11.8%
i	1430	10.3%
g	1430	10.3%
r	1192	8.6%
m	754	5.5%
v	616	4.5%
t	498	3.6%
a	438	3.2%
Other values (2)	498	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3676	26.6%
e	1670	12.1%
o	1630	11.8%
i	1430	10.3%
g	1430	10.3%
r	1192	8.6%
m	754	5.5%
v	616	4.5%
t	498	3.6%
a	438	3.2%
Other values (2)	498	3.6%

Block1
Real number (ℝ)

Distinct	70
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	174.43897

Minimum	0
Maximum	492
Zeros	14
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	15
median	193
Q3	235
95-th percentile	478
Maximum	492
Range	492
Interquartile range (IQR)	220

Descriptive statistics

Standard deviation	164.49943
Coefficient of variation (CV)	0.94301994
Kurtosis	-0.73502945
Mean	174.43897
Median Absolute Deviation (MAD)	163
Skewness	0.667116
Sum	325852
Variance	27060.062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
220	408	21.8%
30	212	11.3%
478	202	10.8%
14	156	8.4%
235	153	8.2%
15	139	7.4%
4	101	5.4%
189	60	3.2%
330	57	3.1%
90	38	2.0%
Other values (60)	342	18.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14	0.7%
1	3	0.2%
2	4	0.2%
3	6	0.3%
4	101	5.4%
5	5	0.3%
6	7	0.4%
7	5	0.3%
8	5	0.3%
9	18	1.0%

Value	Count	Frequency (%)
492	6	0.3%
491	3	0.2%
490	3	0.2%
489	3	0.2%
488	5	0.3%
487	5	0.3%
486	4	0.2%
485	3	0.2%
484	3	0.2%
483	1	0.1%

Sold1
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	250
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	156.36242

Minimum	0
Maximum	494
Zeros	65
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	14
median	109
Q3	220
95-th percentile	478.65
Maximum	494
Range	494
Interquartile range (IQR)	206

Descriptive statistics

Standard deviation	161.04409
Coefficient of variation (CV)	1.0299411
Kurtosis	-0.45456876
Mean	156.36242
Median Absolute Deviation (MAD)	104
Skewness	0.85211389
Sum	292085
Variance	25935.199
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
220	191	10.2%
30	157	8.4%
14	121	6.5%
478	108	5.8%
15	92	4.9%
4	73	3.9%
235	70	3.7%
0	65	3.5%
13	49	2.6%
479	34	1.8%
Other values (240)	908	48.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	65	3.5%
1	9	0.5%
2	18	1.0%
3	30	1.6%
4	73	3.9%
5	11	0.6%
6	12	0.6%
7	8	0.4%
8	13	0.7%
9	19	1.0%

Value	Count	Frequency (%)
494	1	0.1%
493	1	0.1%
492	1	0.1%
491	3	0.2%
490	4	0.2%
489	3	0.2%
488	2	0.1%
487	2	0.1%
486	1	0.1%
485	1	0.1%

Left1
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	167
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.076552

Minimum	-6
Maximum	478
Zeros	1075
Zeros (%)	57.5%
Negative	70
Negative (%)	3.7%
Memory size	14.7 KiB

Quantile statistics

Minimum	-6
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	129.65
Maximum	478
Range	484
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	58.526113
Coefficient of variation (CV)	3.2376811
Kurtosis	24.314412
Mean	18.076552
Median Absolute Deviation (MAD)	0
Skewness	4.5814641
Sum	33767
Variance	3425.3059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1075	57.5%
1	159	8.5%
2	81	4.3%
3	52	2.8%
-1	43	2.3%
4	35	1.9%
6	26	1.4%
5	24	1.3%
8	17	0.9%
14	14	0.7%
Other values (157)	342	18.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6	1	0.1%
-5	1	0.1%
-4	3	0.2%
-3	8	0.4%
-2	14	0.7%
-1	43	2.3%
0	1075	57.5%
1	159	8.5%
2	81	4.3%
3	52	2.8%

Value	Count	Frequency (%)
478	1	0.1%
473	1	0.1%
470	1	0.1%
468	2	0.1%
464	1	0.1%
457	1	0.1%
452	1	0.1%
448	1	0.1%
440	1	0.1%
381	1	0.1%

Occ.(%)1
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	90
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	88.835118

Minimum	0
Maximum	107
Zeros	67
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	7.35
Q1	93
median	100
Q3	100
95-th percentile	100
Maximum	107
Range	107
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	25.420968
Coefficient of variation (CV)	0.28615899
Kurtosis	5.5949075
Mean	88.835118
Median Absolute Deviation (MAD)	0
Skewness	-2.5825246
Sum	165944
Variance	646.22561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	1185	63.4%
99	75	4.0%
0	67	3.6%
93	59	3.2%
97	49	2.6%
98	37	2.0%
75	26	1.4%
101	17	0.9%
96	16	0.9%
87	15	0.8%
Other values (80)	322	17.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	67	3.6%
1	6	0.3%
2	4	0.2%
3	3	0.2%
4	2	0.1%
5	3	0.2%
6	4	0.2%
7	5	0.3%
8	2	0.1%
9	1	0.1%

Value	Count	Frequency (%)
107	1	0.1%
102	1	0.1%
101	17	0.9%
100	1185	63.4%
99	75	4.0%
98	37	2.0%
97	49	2.6%
96	16	0.9%
95	7	0.4%
94	10	0.5%

Occ.
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	307
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.125418

Minimum	0
Maximum	100.91
Zeros	31
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	0
5-th percentile	36.521
Q1	96.67
median	100
Q3	100
95-th percentile	100
Maximum	100.91
Range	100.91
Interquartile range (IQR)	3.33

Descriptive statistics

Standard deviation	21.195752
Coefficient of variation (CV)	0.23259978
Kurtosis	8.3042491
Mean	91.125418
Median Absolute Deviation (MAD)	0
Skewness	-2.9701157
Sum	170222.28
Variance	449.25991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	950	50.9%
99.09	42	2.2%
99.79	39	2.1%
99.55	36	1.9%
93.33	35	1.9%
96.67	32	1.7%
0	31	1.7%
99.58	26	1.4%
98.18	23	1.2%
99.57	20	1.1%
Other values (297)	634	33.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31	1.7%
0.45	1	0.1%
1.36	1	0.1%
1.82	1	0.1%
3.17	1	0.1%
3.4	1	0.1%
4.09	1	0.1%
4.23	1	0.1%
4.55	1	0.1%
4.76	1	0.1%

Value	Count	Frequency (%)
100.91	1	0.1%
100.83	1	0.1%
100.43	1	0.1%
100.42	3	0.2%
100.21	2	0.1%
100	950	50.9%
99.8	2	0.1%
99.79	39	2.1%
99.7	7	0.4%
99.59	13	0.7%

Netto
Real number (ℝ)

Distinct	149
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	244.80257

Minimum	50
Maximum	475
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	14.7 KiB

Quantile statistics

Minimum	50
5-th percentile	158.35
Q1	191
median	226.5
Q3	276
95-th percentile	475
Maximum	475
Range	425
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	80.137739
Coefficient of variation (CV)	0.3273566
Kurtosis	1.5886385
Mean	244.80257
Median Absolute Deviation (MAD)	36.5
Skewness	1.4115463
Sum	457291.21
Variance	6422.0572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
320	200	10.7%
191	104	5.6%
475	100	5.4%
394	89	4.8%
276	76	4.1%
192	67	3.6%
233	62	3.3%
237	49	2.6%
190	45	2.4%
229	44	2.4%
Other values (139)	1032	55.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	1	0.1%
75	1	0.1%
80	1	0.1%
95	1	0.1%
100	1	0.1%
124	1	0.1%
131	1	0.1%
133	1	0.1%
140	1	0.1%
142	2	0.1%

Value	Count	Frequency (%)
475	100	5.4%
394	89	4.8%
351	1	0.1%
320	200	10.7%
282	1	0.1%
278	8	0.4%
277	5	0.3%
276	76	4.1%
275	4	0.2%
274	2	0.1%

Netto Currency
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	4
Missing (%)	0.2%
Memory size	14.7 KiB

EUR	1562
USD	302

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	EUR
2nd row	EUR
3rd row	EUR
4th row	EUR
5th row	EUR

Common Values

Value	Count	Frequency (%)
EUR	1562	83.6%
USD	302	16.2%
(Missing)	4	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eur	1562	83.8%
usd	302	16.2%

Most occurring characters

Value	Count	Frequency (%)
U	1864	33.3%
E	1562	27.9%
R	1562	27.9%
S	302	5.4%
D	302	5.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5592	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	1864	33.3%
E	1562	27.9%
R	1562	27.9%
S	302	5.4%
D	302	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5592	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1864	33.3%
E	1562	27.9%
R	1562	27.9%
S	302	5.4%
D	302	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1864	33.3%
E	1562	27.9%
R	1562	27.9%
S	302	5.4%
D	302	5.4%

Profit
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1771
Distinct (%)	97.1%
Missing	44
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	48.070291

Minimum	-329.46
Maximum	681.1
Zeros	0
Zeros (%)	0.0%
Negative	555
Negative (%)	29.7%
Memory size	14.7 KiB

Quantile statistics

Minimum	-329.46
5-th percentile	-60.6775
Q1	-9.6875
median	34.925
Q3	82.05
95-th percentile	215.863
Maximum	681.1
Range	1010.56
Interquartile range (IQR)	91.7375

Descriptive statistics

Standard deviation	89.938733
Coefficient of variation (CV)	1.8709838
Kurtosis	4.664656
Mean	48.070291
Median Absolute Deviation (MAD)	45.935
Skewness	1.337311
Sum	87680.21
Variance	8088.9757
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41.19	3	0.2%
19.43	3	0.2%
51.78	3	0.2%
54.42	2	0.1%
28.4	2	0.1%
52.4	2	0.1%
13.5	2	0.1%
-21.87	2	0.1%
2.31	2	0.1%
47.57	2	0.1%
Other values (1761)	1801	96.4%
(Missing)	44	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-329.46	1	0.1%
-252.83	1	0.1%
-211.82	1	0.1%
-210.89	1	0.1%
-203.98	1	0.1%
-166.76	1	0.1%
-154.32	1	0.1%
-152.89	1	0.1%
-150.25	1	0.1%
-148.74	1	0.1%

Value	Count	Frequency (%)
681.1	1	0.1%
610.02	1	0.1%
587.59	1	0.1%
530.72	1	0.1%
522.21	1	0.1%
473.61	1	0.1%
460.45	1	0.1%
456.37	1	0.1%
402.03	1	0.1%
390.79	1	0.1%

prıce
Real number (ℝ)

Distinct	1821
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	291.74059

Minimum	-68.46
Maximum	905.1
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	0.1%
Memory size	14.7 KiB

Quantile statistics

Minimum	-68.46
5-th percentile	129.6215
Q1	200.54
median	265.78
Q3	369.02
95-th percentile	517.717
Maximum	905.1
Range	973.56
Interquartile range (IQR)	168.48

Descriptive statistics

Standard deviation	126.65168
Coefficient of variation (CV)	0.43412432
Kurtosis	1.1741919
Mean	291.74059
Median Absolute Deviation (MAD)	82.005
Skewness	0.9132575
Sum	544971.42
Variance	16040.649
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
475	4	0.2%
163	3	0.2%
191	3	0.2%
279.43	3	0.2%
153	3	0.2%
197	3	0.2%
154	3	0.2%
198	2	0.1%
261.69	2	0.1%
193.85	2	0.1%
Other values (1811)	1840	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-68.46	1	0.1%
-42.83	1	0.1%
6.11	1	0.1%
17.11	1	0.1%
22.75	1	0.1%
28.26	1	0.1%
33.48	1	0.1%
42.02	1	0.1%
46.18	1	0.1%
50	1	0.1%

Value	Count	Frequency (%)
905.1	1	0.1%
839.02	1	0.1%
823.59	1	0.1%
814.08	1	0.1%
802.73	1	0.1%
753.72	1	0.1%
751.21	1	0.1%
740.03	1	0.1%
737.8	1	0.1%
731.23	1	0.1%

day_convert
Categorical

Distinct	265
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Memory size	14.7 KiB

2021-10-09	20
2021-10-16	20
2021-10-02	18
2021-09-19	18
2021-10-01	17
Other values (260)	1775

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	18680
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	59 ?
Unique (%)	3.2%

Sample

1st row	2021-08-03
2nd row	2021-08-06
3rd row	2021-08-10
4th row	2021-08-13
5th row	2021-08-17

Common Values

Value	Count	Frequency (%)
2021-10-09	20	1.1%
2021-10-16	20	1.1%
2021-10-02	18	1.0%
2021-09-19	18	1.0%
2021-10-01	17	0.9%
2021-09-25	17	0.9%
2021-09-12	16	0.9%
2021-10-10	16	0.9%
2021-09-04	16	0.9%
2021-09-11	16	0.9%
Other values (255)	1694	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-10-09	20	1.1%
2021-10-16	20	1.1%
2021-10-02	18	1.0%
2021-09-19	18	1.0%
2021-10-01	17	0.9%
2021-09-25	17	0.9%
2021-08-07	16	0.9%
2021-09-18	16	0.9%
2021-10-04	16	0.9%
2021-09-27	16	0.9%
Other values (255)	1694	90.7%

Most occurring characters

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
-	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14944	80.0%
Dash Punctuation	3736	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	4533	30.3%
0	4391	29.4%
1	3296	22.1%
9	607	4.1%
8	601	4.0%
7	537	3.6%
3	340	2.3%
4	236	1.6%
6	229	1.5%
5	174	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	3736	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18680	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
-	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	4533	24.3%
0	4391	23.5%
-	3736	20.0%
1	3296	17.6%
9	607	3.2%
8	601	3.2%
7	537	2.9%
3	340	1.8%
4	236	1.3%
6	229	1.2%

Auto

Heatmap
Table

	Days	Block	Sold	Left	Occ.(%)	Block1	Sold1	Left1	Occ.(%)1	Occ.	Netto	Profit	prıce	Origin	day_name	flight_month	season	Flight Code	Airline Company	dpt	dpt1	Netto Currency
Days	1.000	-0.008	-0.010	-0.029	0.038	-0.011	0.000	-0.079	0.085	0.034	-0.052	0.025	-0.016	0.217	1.000	0.000	0.000	0.327	0.072	0.052	0.121	0.000
Block	-0.008	1.000	0.923	0.367	-0.119	0.985	0.885	0.123	0.024	-0.212	-0.656	-0.348	-0.669	0.470	0.093	0.200	0.232	0.772	0.411	0.230	0.316	0.516
Sold	-0.010	0.923	1.000	0.134	0.117	0.914	0.808	0.175	-0.031	0.021	-0.605	-0.302	-0.586	0.325	0.074	0.173	0.206	0.490	0.338	0.214	0.301	0.480
Left	-0.029	0.367	0.134	1.000	-0.903	0.357	0.343	-0.045	0.088	-0.960	-0.301	-0.326	-0.437	0.060	0.000	0.233	0.181	0.220	0.068	0.125	0.066	0.116
Occ.(%)	0.038	-0.119	0.117	-0.903	1.000	-0.110	-0.126	0.095	-0.105	0.957	0.112	0.262	0.273	0.066	0.000	0.226	0.189	0.204	0.052	0.114	0.050	0.111
Block1	-0.011	0.985	0.914	0.357	-0.110	1.000	0.900	0.127	0.025	-0.202	-0.658	-0.335	-0.663	0.457	0.093	0.201	0.233	0.764	0.408	0.229	0.314	0.517
Sold1	0.000	0.885	0.808	0.343	-0.126	0.900	1.000	-0.156	0.304	-0.208	-0.579	-0.367	-0.639	0.326	0.081	0.167	0.223	0.491	0.337	0.206	0.285	0.473
Left1	-0.079	0.123	0.175	-0.045	0.095	0.127	-0.156	1.000	-0.899	0.081	-0.167	0.004	-0.092	0.068	0.000	0.244	0.157	0.236	0.059	0.052	0.090	0.131
Occ.(%)1	0.085	0.024	-0.031	0.088	-0.105	0.025	0.304	-0.899	1.000	-0.103	0.065	-0.047	-0.007	0.055	0.045	0.215	0.168	0.184	0.059	0.047	0.060	0.107
Occ.	0.034	-0.212	0.021	-0.960	0.957	-0.202	-0.208	0.081	-0.103	1.000	0.175	0.280	0.326	0.063	0.000	0.231	0.197	0.204	0.054	0.118	0.046	0.111
Netto	-0.052	-0.656	-0.605	-0.301	0.112	-0.658	-0.579	-0.167	0.065	0.175	1.000	0.238	0.769	0.358	0.055	0.261	0.401	0.722	0.537	0.468	0.473	0.994
Profit	0.025	-0.348	-0.302	-0.326	0.262	-0.335	-0.367	0.004	-0.047	0.280	0.238	1.000	0.758	0.102	0.000	0.175	0.197	0.186	0.143	0.167	0.165	0.145
prıce	-0.016	-0.669	-0.586	-0.437	0.273	-0.663	-0.639	-0.092	-0.007	0.326	0.769	0.758	1.000	0.179	0.028	0.239	0.317	0.319	0.263	0.225	0.260	0.521
Origin	0.217	0.470	0.325	0.060	0.066	0.457	0.326	0.068	0.055	0.063	0.358	0.102	0.179	1.000	0.217	0.089	0.115	0.982	0.481	0.402	0.499	0.280
day_name	1.000	0.093	0.074	0.000	0.000	0.093	0.081	0.000	0.045	0.000	0.055	0.000	0.028	0.217	1.000	0.000	0.000	0.327	0.072	0.052	0.121	0.000
flight_month	0.000	0.200	0.173	0.233	0.226	0.201	0.167	0.244	0.215	0.231	0.261	0.175	0.239	0.089	0.000	1.000	0.998	0.345	0.228	0.223	0.261	0.199
season	0.000	0.232	0.206	0.181	0.189	0.233	0.223	0.157	0.168	0.197	0.401	0.197	0.317	0.115	0.000	0.998	1.000	0.486	0.306	0.203	0.218	0.150
Flight Code	0.327	0.772	0.490	0.220	0.204	0.764	0.491	0.236	0.184	0.204	0.722	0.186	0.319	0.982	0.327	0.345	0.486	1.000	0.979	0.789	0.781	0.977
Airline Company	0.072	0.411	0.338	0.068	0.052	0.408	0.337	0.059	0.059	0.054	0.537	0.143	0.263	0.481	0.072	0.228	0.306	0.979	1.000	0.425	0.534	0.994
dpt	0.052	0.230	0.214	0.125	0.114	0.229	0.206	0.052	0.047	0.118	0.468	0.167	0.225	0.402	0.052	0.223	0.203	0.789	0.425	1.000	0.387	0.565
dpt1	0.121	0.316	0.301	0.066	0.050	0.314	0.285	0.090	0.060	0.046	0.473	0.165	0.260	0.499	0.121	0.261	0.218	0.781	0.534	0.387	1.000	0.622
Netto Currency	0.000	0.516	0.480	0.116	0.111	0.517	0.473	0.131	0.107	0.111	0.994	0.145	0.521	0.280	0.000	0.199	0.150	0.977	0.994	0.565	0.622	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Destination	Origin	To Area	Flight Date	day_name	flight_month	season	year	Flight Code	Days	Airline Company	dpt	Block	Sold	Left	Occ.(%)	dpt1	Block1	Sold1	Left1	Occ.(%)1	Occ.	Netto	Netto Currency	Profit	prıce	day_convert
0	Turkey	Arkhangelsk	Antalya	03.08.2021	Tuesday	August	Summer	2021	U6 1137	2	Ural Airlines	afternoon	220	220	0	100	morning	220	3	217	1	100.00	257.0	EUR	-3.65	253.35	2021-08-03
1	Turkey	Arkhangelsk	Antalya	06.08.2021	Friday	August	Summer	2021	U6 1137	5	Ural Airlines	morning	220	220	0	100	night	220	0	220	0	100.00	257.0	EUR	31.46	288.46	2021-08-06
2	Turkey	Arkhangelsk	Antalya	10.08.2021	Tuesday	August	Summer	2021	U6 1137	2	Ural Airlines	afternoon	220	219	1	100	morning	220	59	161	27	99.55	262.0	EUR	40.54	302.54	2021-08-10
3	Turkey	Arkhangelsk	Antalya	13.08.2021	Friday	August	Summer	2021	U6 1137	5	Ural Airlines	morning	220	219	1	100	night	220	194	26	88	99.55	273.0	EUR	31.34	304.34	2021-08-13
4	Turkey	Arkhangelsk	Antalya	17.08.2021	Tuesday	August	Summer	2021	U6 1137	2	Ural Airlines	afternoon	220	220	0	100	morning	220	168	52	76	100.00	272.0	EUR	41.66	313.66	2021-08-17
5	Turkey	Arkhangelsk	Antalya	20.08.2021	Friday	August	Summer	2021	U6 1137	5	Ural Airlines	afternoon	220	220	0	100	night	220	220	0	100	100.00	277.0	EUR	51.56	328.56	2021-08-20
6	Turkey	Arkhangelsk	Antalya	22.08.2021	Sunday	August	Summer	2021	WZ 4037	7	Red Wings Airlines	afternoon	220	220	0	100	morning	220	15	205	7	100.00	261.0	EUR	-14.38	246.62	2021-08-22
7	Turkey	Arkhangelsk	Antalya	24.08.2021	Tuesday	August	Summer	2021	U6 1137	2	Ural Airlines	afternoon	220	220	0	100	morning	220	220	0	100	100.00	277.0	EUR	-16.86	260.14	2021-08-24
8	Turkey	Arkhangelsk	Antalya	27.08.2021	Friday	August	Summer	2021	U6 1137	5	Ural Airlines	morning	220	220	0	100	night	220	220	0	100	100.00	277.0	EUR	-51.27	225.73	2021-08-27
9	Turkey	Arkhangelsk	Antalya	29.08.2021	Sunday	August	Summer	2021	WZ 4037	7	Red Wings Airlines	afternoon	220	220	0	100	morning	220	220	0	100	100.00	278.0	EUR	-68.98	209.02	2021-08-29

	Destination	Origin	To Area	Flight Date	day_name	flight_month	season	year	Flight Code	Days	Airline Company	dpt	Block	Sold	Left	Occ.(%)	dpt1	Block1	Sold1	Left1	Occ.(%)1	Occ.	Netto	Netto Currency	Profit	prıce	day_convert
1858	Turkey	Krasnodar	Antalya	27.10.2021	Wednesday	October	Fall	2021	U6 1175	3	Ural Airlines	morning	220	50	170	23	morning	220	220	0	100	22.73	156.0	EUR	-4.93	151.07	2021-10-27
1859	Turkey	Krasnodar	Antalya	30.10.2021	Saturday	October	Fall	2021	U6 1175	6	Ural Airlines	morning	220	220	0	100	night	220	220	0	100	100.00	159.0	EUR	21.43	180.43	2021-10-30
1860	Turkey	Krasnodar	Antalya	06.11.2021	Saturday	November	Fall	2021	U6 1175	6	Ural Airlines	afternoon	220	57	163	26	morning	220	220	0	100	25.91	173.0	EUR	-150.25	22.75	2021-11-06
1861	Turkey	Ufa	Antalya	24.06.2021	Thursday	June	Summer	2021	RL 8017	4	Royal Flight	afternoon	235	235	0	100	morning	235	0	235	0	100.00	217.0	EUR	68.09	285.09	2021-06-24
1862	Turkey	Ufa	Antalya	27.06.2021	Sunday	June	Summer	2021	RL 8017	7	Royal Flight	afternoon	235	230	5	98	morning	235	0	235	0	97.87	217.0	EUR	47.68	264.68	2021-06-27
1863	Turkey	Ufa	Antalya	28.06.2021	Monday	June	Summer	2021	RL 8007	1	Royal Flight	night	235	228	7	97	evening	235	1	234	0	97.02	215.0	EUR	45.81	260.81	2021-06-28
1864	Turkey	Ufa	Antalya	04.07.2021	Sunday	July	Summer	2021	RL 8007	7	Royal Flight	night	235	234	1	100	evening	235	174	61	74	99.57	238.0	EUR	17.91	255.91	2021-07-04
1865	Turkey	Ufa	Antalya	05.07.2021	Monday	July	Summer	2021	RL 8007	1	Royal Flight	night	235	235	0	100	evening	235	221	14	94	100.00	234.0	EUR	19.32	253.32	2021-07-05
1866	Turkey	Ufa	Antalya	09.07.2021	Friday	July	Summer	2021	RL 8007	5	Royal Flight	afternoon	235	218	17	93	morning	235	235	0	100	92.77	239.0	EUR	-22.59	216.41	2021-07-09
1867	Turkey	Ufa	Antalya	29.07.2021	Thursday	July	Summer	2021	U6 1007	4	Ural Airlines	evening	220	200	20	91	afternoon	220	220	0	100	90.91	256.0	EUR	-39.70	216.30	2021-07-29

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter